Evidence map›Paper›PMID 36212529›Full record

ReviewComputational and structural biotechnology journal2022

High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance.

Godagama Gamaarachchige Dinesh Suminda, Srishti Bhandari, Yoonkyung Won, Umesh Goutam, Krishna Kanth Pulicherla, Young-Ok Son, Mrinmoy Ghosh

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Application of Genomic Selection in Beef Cattle Disease Prevention.Animals : an open access journal from MDPI · 2025
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Godagama Gamaarachchige Dinesh SumindaInterdisciplinary Graduate Program in Advanced Convergence Technology and Science, Jeju National University, Jeju-si 63243, Republic of Korea.
Srishti BhandariDepartment of Molecular Biology and Genetic Engineering, School of Bioengineering and Biosciences, Lovely Professional University, Punjab, India.
Yoonkyung WonSection of Surgical Sciences and Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Umesh GoutamDepartment of Molecular Biology and Genetic Engineering, School of Bioengineering and Biosciences, Lovely Professional University, Punjab, India.
Krishna Kanth PulicherlaDepartment of Science and Technology, Ministry of Science and Technology, Govt. of India, Technology Bhavan, New Delhi, India.
Young-Ok SonInterdisciplinary Graduate Program in Advanced Convergence Technology and Science, Jeju National University, Jeju-si 63243, Republic of Korea.
Mrinmoy GhoshDepartment of Animal Biotechnology, Faculty of Biotechnology, College of Applied Life Sciences, Jeju National University, Jeju-si 63243, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing globalization, agricultural intensification, urbanization, and climatic changes have resulted in a significant recent increase in emerging infectious zoonotic diseases. Zoonotic diseases are becoming more common, so innovative, effective, and integrative research is required to better understand their transmission, ecological implications, and dynamics at wildlife-human interfaces. High-throughput sequencing (HTS) methodologies have enormous potential for unraveling these contingencies and improving our understanding, but they are only now beginning to be realized in livestock research. This study investigates the current state of use of sequencing technologies in the detection of livestock pathogens such as bovine, dogs (

Indexed as

ACE2, angiotensin-converting enzyme IIAPEC, avian pathogenic E. coliBLAST, basic local alignment search toolBRD, Bovine respiratory diseaseCOVID-19, coronavirus disease 2019Domestic animalsGHSA, Global Health Security AgendaHigh-throughput sequencingHTS, High-throughput sequencingILTV, infectious laryngotracheitis virusInfectious diseasesmNGS, metagenomic next-generation sequencingMRSA, Methicillin-resistant Staphylococcus aureusNext-generation sequencingNGS, next-generation sequencingPCR, polymerase chain reactionPGI2, Proteus genomic island 2qRT-PCR, quantitative reverse transcription polymerase chain reactionRABV, rabies virusTCR, T-cell receptorWG-NGS, whole-genome-NGSWGS, whole-genome sequencingZoonotic pathogens

Identifiers

PMID36212529
PMCPMC9526013

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.